Development of Deep Learning Color Recognition Model for Color Measurement Processes
Author:
Funder
Korea Agency for Infrastructure Technology Advancement
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42835-024-01791-1.pdf
Reference25 articles.
1. Lee S, Kang JW (2023) deep learning model comparison study on temperature control in electric facilities. J Electr Eng Technol 18(2):1439–1446. https://doi.org/10.1007/s42835-022-01363-1
2. Topaloglu I (2023) Deep learning based a new approach for power quality disturbances classification in power transmission system. J Electr Eng Technol 18(1):77–88. https://doi.org/10.1007/s42835-022-01177-1
3. Bai F, Zeng H, Yi J, Liao N, Guo L (1994) Color matching in paint using a method of linear programming. Color Res Appl 19(5):375–376
4. Worheide RJ (2020) Liquid color measurement: a new approach for color testing. CoatingsTech 17(2):40–49
5. Zhang M, Wang P, Zhang X (2019) Vehicle color recognition using deep convolutional neural networks. In: AICS 2019: proceedings of the 2019 international conference on artificial intelligence and computer science, pp 236–238. https://doi.org/10.1145/3349341.3349408.
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